Preferences 9. Preferences
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1 Preferences 9 Preferences A. Preferences are relationships between bundles. 1. if a consumer would choose bundle (, )when(y 1,y 2 )is available, then it is natural to say that bundle (, )is preferred to (y 1,y 2 )bythisconsumer. 2. preferences have to do with the entire bundle of goods, not with individual goods. B. Notation 1. (, ) (y 1,y 2 ) means the x-bundle is strictly preferred to the y-bundle 2. (, ) (y 1,y 2 ) means that the x-bundle is regarded as indifferent to the y-bundle 3. (, ) (y 1,y 2 ) means the x-bundle is at least as good as (preferred to or indifferent to) the y-bundle C. Assumptions about preferences 1. complete any two bundles can be compared 2. reflexive any bundle is at least as good as itself 3. transitive if X Y and Y Z, thenx Z a) transitivity necessary for theory of optimal choice D. 1. graph the set of bundles that are indifferent to some bundle. See Figure indifference are like contour lines on a map 3. note that indifference describing two distinct levels of preference cannot cross. See Figure 3.2. a) proof use transitivity E. Examples of preferences 1. perfect substitutes. Figure 3.3. a) red pencils and blue pencils; pints and quarts b) constant rate of trade-off between the two goods 2. perfect complements. Figure 3.4. a) always consumed together b) right shoes and left shoes; coffee and cream 3. bads. Figure neutrals. Figure satiation or bliss point Figure 3.7.
2 Preferences 10 Weakly preferred set: bundles weakly preferred to (, ) curve: bundles indifferent to (, ) Figure 3.1 x 2 Alleged indifference X Z Y x 1 Figure 3.2 F. Well-behaved preferences
3 Preferences 11 BLUE PENCILS ; slope = 1 RED PENCILS Figure 3.3 LEFT SHOES RIGHT SHOES Figure monotonicity more of either good is better a) implies indifference have negative slope. Figure 3.9.
4 Preferences 12 ANCHOVIES PEPPERONI Figure 3.5 ANCHOVIES PEPPERONI Figure convexity averages are preferred to extremes. Figure a) slope gets flatter as you move further to right
5 Preferences 13 Satiation point Figure 3.7 Better bundles (x, x ) 1 2 Worse bundles Figure 3.9 b) example of non-convex preferences
6 Preferences 14 (y, y ) 2 1 Averaged bundle (y, y ) 2 1 (y, y ) 2 1 Averaged bundle (x, x ) 1 2 A Convex preferences Averaged bundle B Nonconvex preferences (x, x ) 1 2 (x, x ) 1 2 x1 x1 C Concave preferences Figure 3.10 G. Marginal rate of substitution 1. slope of the indifference curve 2. MRS =Δ /Δ along an indifference curve. Figure sign problem natural sign is negative, since indifference will generally have negative slope 4. measures how the consumer is willing to trade off consumption of good 1 for consumption of good 2. Figure measures marginal willingness to pay (give up) a) not the same as how much you have to pay b) but how much you would be willing to pay
7 Preferences 15 x2 curve Δx2 Δx2 Slope = Δ = marginal rate of substitution Δx1 x1 Figure 3.11 Slope = E x1 x1 Figure 3.12
8 Utility 16 Utility A. Two ways of viewing utility 1. old way a) measures how satisfied you are 1) not operational 2) many other problems 2. new way a) summarizes preferences b) a utility function assigns a number to each bundle of goods so that more preferred bundles get higher numbers c) that is, u(, ) > u(y 1,y 2 ) if and only if (, ) (y 1,y 2 ) d) only the ordering of bundles counts, so this is a theory of ordinal utility e) advantages 1) operational 2) gives a complete theory of demand B. Utility functions are not unique 1. if u(, ) is a utility function that represents some preferences, and f( ) is any increasing function, then f(u(, )) represents the same preferences 2. why? Because u(, ) >u(y 1,y 2 )onlyiff(u(, )) > f(u(y 1,y 2 )) 3. so if u(, ) is a utility function then any positive monotonic transformation of it is also a utility function that represents thesamepreferences C. Constructing a utility function
9 Utility 17 x 2 Measures distance from origin x 1 Figure can do it mechanically using the indifference. Figure can do it using the meaning of the preferences D. Examples 1. utility to indifference a) easy just plot all points where the utility is constant 2. indifference to utility 3. examples a) perfect substitutes all that matters is total number of pencils, so u(, )= + does the trick 1) can use any monotonic transformation of this as well, such as log ( + ) b) perfect complements what matters is the minimum of the left and right shoes you have, so u(, ) = min{, } works
10 Utility 18 Figure 4.4 c) quasilinear preferences indifference are vertically parallel. Figure ) utility function has form u(, )=v( )+
11 Utility 19 A c = 1/2 d =1/2 B c = 1/5 d =4/5 Figure 4.5 d) Cobb-Douglas preferences. Figure ) utility has form u(, )=x b 1 xc 2 2) convenient to take transformation f(u) = u 1 b+c and write x b b+c 1 x c b+c 2 3) or x a 1x2 1 a,wherea = b/(b + c) E. Marginal utility 1. extra utility from some extra consumption of one of the goods, holding the other good fixed 2. this is a derivative, but a special kind of derivative a partial derivative 3. this just means that you look at the derivative of u(, ) keeping fixed treating it like a constant 4. examples a) if u(, )= +,thenmu 1 = u/ =1 b) if u(, )=x a 1 x1 a 2,thenMU 1 = u/ = ax a 1 1 x2 1 a 5. note that marginal utility depends on which utility function you choose to represent preferences a) if you multiply utility times 2, you multiply marginal utility times 2 b) thus it is not an operational concept c) however, MU is closely related to MRS, which is an operational concept
12 Utility relationship between MU and MRS a) u(, )=k, wherek is a constant, describes an indifference curve b) we want to measure slope of indifference curve, the MRS c) so consider a change (d,d ) that keeps utility constant. Then MU 1 d + MU 2 d =0 u d + u d =0 d) hence d d = MU 1 MU 2 e) so we can compute MRS from knowingthe utilityfunction F. Example 1. take a bus or take a car to work? 2. let be the time of taking a car, y 1 be the time of taking a bus. Let be cost of car, etc. 3. suppose utility function takes linear form U(,...,x n ) = β β n x n 4. we can observe a number of choices and use statistical techniques to estimate the parameters β i that best describe choices 5. one study that did this could forecast the actual choice over 93% of the time 6. once we have the utility function we can do many things with it: a) calculate the marginal rate of substitution between two characteristics 1) how much money would the average consumer give up in order to get a shorter travel time? b) forecast consumer response to proposed changes c) estimate whether proposed change is worthwhile in a benefit-cost sense
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